Top AI Jobs in Singapore

Lead development, automation, and operation of a global Equities Trading Order Management System. Design OMS features, integrate CI/CD and resiliency, automate processes, lead incident response, coordinate with stakeholders, and ensure regulatory and operational compliance.

Lead development and maintenance of a resilient, cloud-native algorithmic equities trading platform. Design and implement trading strategies, produce high-quality Java production code, ensure operational stability, drive automation/CI-CD, collaborate with front office, evaluate vendors, and lead engineering best practices.

Support Controls & Oversight for Private Banking credit operations: monitor and improve control frameworks, coordinate audits and RFIs, manage operational risk and legal documentation governance, maintain KPIs and issue tracking, and identify automation opportunities using tools like Alteryx, Python, Unqork and UiPath.

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

Senior customer-facing AI leader who defines AI strategy, architects end-to-end LLM and RAG-based solutions, leads technical discovery and proof-of-value, drives enterprise AI adoption and governance, influences product roadmaps, and ensures successful production deployment and measurable business value across cloud-native and telecom environments.

Lead design, build, and operationalize agentic AI platforms and services. Develop orchestration, evaluation, observability, governance, APIs, and backend systems. Improve performance, scalability, and reliability. Provide technical leadership, mentor engineers, and collaborate with product, data science, security, and governance teams to ensure responsible AI deployment across the enterprise.

Lead regional commercialisation and deployment of AI-powered SME solutions across APAC. Act as APAC subject-matter expert on LLMs and agentic AI, translate customer needs into product requirements, run pilots and go-to-market strategies, and drive adoption through cross-functional collaboration with product, engineering, sales, and partners.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Lead design and delivery of generative AI agents and architectures, build robust APIs and scalable systems, roadmap AI applications, collaborate cross-functionally, troubleshoot production issues, and drive internal efficiency and customer-facing AI solutions.

Lead end-to-end design and implementation of generative AI solutions and APIs to improve customer-facing and internal automation. Build scalable, high-concurrency backend systems, collaborate with cross-functional teams, set best practices, and mentor engineers while driving deployment and MLOps for production AI products.

Lead data-driven process and test integration initiatives to improve high-value-bits yield (PG2+). Develop models and monitoring for tool performance, equipment prognostics, and test optimization. Prototype solutions with cross-functional teams, deploy best-known-methods to production, and integrate AI-assisted tools to drive continuous improvement and operational excellence.

Provide executive administrative support to the Centre Director, manage daily operations, office IT and assets, coordinate events and communications, maintain website content, and support faculty, staff, and students.

Lead and expand international partnerships and student mobility programmes by setting strategy, negotiating agreements, designing short-term overseas programmes, driving branding and recruitment, improving processes with AI/RPA, ensuring compliance, managing crises, enhancing data quality, and producing reports to support senior leadership.

Support and run experiments collecting large-scale neural activity in murine models, analyze neural datasets, manage lab operations, contribute to grants, presentations and publications, and participate in lab meetings and journal club.

Lead AI-enabled cost transformation across procurement and manufacturing. Own product backlog and roadmap, define requirements with data scientists and engineers, prioritize AI/Generative AI cost use cases, drive delivery, measure before/after savings, and embed workflow optimizations into daily operations.

Serve as the bridge between business units and Technology & Operations, coordinating infrastructure initiatives, incident resolution, UAT and deployments, governance, vendor management, budgeting, KPI tracking, and stakeholder engagement to ensure IT solutions meet business needs and align with regional/global technology standards.

Lead account strategy and sales for KBC solutions across APAC (initial focus PETRONAS/Malaysia). Develop relationships with C-level stakeholders, create and negotiate complex, bespoke software and consulting deals, manage cross-functional teams, maintain CRM and pipeline, and promote digital transformation and decarbonization solutions. Drive revenue targets, market intelligence, and compliance while coaching internal teams and maintaining subject-matter expertise.

Lead design and development of scalable data infrastructure and self-service tooling for data engineering teams. Provide technical leadership, implement robust systems (Kubernetes/Terraform/GitOps), ensure quality through testing and maintenance, troubleshoot production issues, and collaborate cross-functionally to deliver reliable data platforms.

Lead design and build of high-performance distributed data infrastructure and AI enablement platforms. Optimize systems internals and JVM performance, implement lakehouse and real-time streaming, develop scalable vector indexing and AI knowledge platform, own SDLC for petabyte-scale systems across global regions, drive engineering best practices, and mentor mid-level engineers.

Lead identification, prototyping, and production deployment of AI solutions to transform risk operations. Partner across Operations, Engineering, Data Science, Product, and Compliance to build, monitor, and iterate AI agents and low-code/no-code tools, ensuring regulatory compliance and operational scalability.

Lead design, build, and operate distributed, large-scale (batch/streaming) data platforms and pipelines. Drive technical decisions, performance optimization, data architecture (lakehouse), tooling standards, third-party integration, and mentor junior engineers to enable company-wide data-driven capabilities.

Lead a Singapore-based team to design, build, and maintain scalable data infrastructure and self-service developer tooling. Implement robust, maintainable systems, ensure quality through testing and troubleshooting, collaborate cross-functionally, and mentor engineers while staying current with emerging technologies.

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

Lead identification, implementation and tracking of productivity, safety and sustainability initiatives on construction projects using automation, robotics and AI. Engage stakeholders to drive adoption, review contract specifications, and apply lean process improvements to enhance construction efficiency and environmental practices.